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Wireless Charging Technologies for Electric Vehicles

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: 24 October 2024 | Viewed by 479

Special Issue Editors


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Guest Editor
School of Electric Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Interests: power electronics; wireless power supply for aerospace, underwater and flexible medical device applications; high-power charging system design for autonomous underwater vehicles; capacitive power transfer

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Guest Editor
School of Electric Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Interests: power electronics; wireless power transfer; dynamic wireless power transfer technology

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Guest Editor
School of Electric Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Interests: high-frequency power electronics; capacitive power transfer; underwater power supply; energy harvesting

Special Issue Information

Dear Colleagues,

Wireless charging is a safe, convenient, and efficient way to replenish electric energy, and it has been applied in many fields such as electric vehicles, rail transportation, aerospace, industrial applications, consumer electronics, biomedical applications, and so on, accelerating the unmanned and intelligent process of electrical equipment. Under the premise that principle demonstration and function realization are basically completed, the high efficiency, high power density, complex working condition adaptability, electromagnetic compatibility, safety, economy, interoperability, standardization, and other aspects of the performance of the wireless charging system still need to be improved.

This Special Issue aims to publish the most up-to-date original developments in wireless charging systems for transportation applications. Original research findings, practical contributions, surveys, and state-of-the-art tutorials are welcome.

  • Topics of interest include (but are not limited to) the following:
  • Novel material, structure, and electromagnetic field analysis of couplers;
  • Compensation topology modeling and characterization;
  • Converter topologies and control schemes;
  • System optimization and performance improvement;
  • EMC, EMI, safety, and foreign object detection;
  • Static/dynamic wireless charging for electric vehicles;
  • Wireless charging for rail transportation and industrial applications;
  • Wireless charging for aerospace and unmanned underwater vehicles;
  • Wireless charging for consumer electronics and biomedical applications;
  • All other relevant technologies, such as measurement, communication, modelling and control, compensation topologies, integrated circuits, and other technologies.

Dr. Jiantao Zhang
Dr. Xin Gao
Dr. Ying Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wireless charging
  • electric vehicles
  • magnetic coupler
  • resonant compensation
  • converter
  • system control
  • performance improvement
  • applications

Published Papers (1 paper)

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Research

20 pages, 3089 KiB  
Article
Coil Parameter Optimization Method for Wireless Power Transfer System Based on Crowding Distance Division and Adaptive Genetic Operators
by Hua Zhang, Xin Sui, Peng Sui, Lili Wei, Yuanchun Huang, Zhenglong Yang and Haidong Yang
Energies 2024, 17(13), 3289; https://doi.org/10.3390/en17133289 - 4 Jul 2024
Viewed by 349
Abstract
In a Magnetically Coupled Resonant Wireless Power Transfer (MCR-WPT) system, the magnetic coupling coil is one of the key factors that determines the system’s output power, transmission efficiency, anti-offset capability, and so on. This article proposes a coil parameter optimization method for a [...] Read more.
In a Magnetically Coupled Resonant Wireless Power Transfer (MCR-WPT) system, the magnetic coupling coil is one of the key factors that determines the system’s output power, transmission efficiency, anti-offset capability, and so on. This article proposes a coil parameter optimization method for a wireless power transfer system based on crowding distance division and adaptive genetic operators. Through optimizing the design of decision variables, such as the numbers of transmitting and receiving coil turns, the spacings between transmitting and receiving coil turns, the inner radii of the transmitting and receiving coils, and the vertical distance of the coil, the best transmission performance can be achieved. This study improves the NSGA-II algorithm through proposing a genetic operator algorithm for average crowding and high crowding populations based on adaptive operators, as well as a genetic operator algorithm for low crowding populations based on information entropy. These improved algorithms avoid problems inherent to traditional genetic operators such as fixed genetic proportions, do not easily cause the algorithm to fall into a local optimal solution, and show better convergence in the ZDT1–ZDT3 test functions. The optimization design method in this article is not only independent of commercial software such as ANSYS Maxwell 2021 R1, but can also significantly improve the calculation speed compared with traditional simulation software. Full article
(This article belongs to the Special Issue Wireless Charging Technologies for Electric Vehicles)
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